Bar code recognition in highly distorted and low resolution images

被引：0
|
作者：
Shams, Ramtin [1 ]
Sadeghi, Parastoo [1 ]
机构：
[1] Australian Natl Univ, Res Sch Informat Sci & Engn, Canberra, ACT 0200, Australia
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PTS 1-3, PROCEEDINGS | 2007年
关键词：
bar codes; feature extraction; image segmentation; pattern recognition; peak detection;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, we present a novel approach to detection of one dimensional bar code images. Our algorithm is particularly designed to recognize bar codes, where the image may be of low resolution, low quality or suffer from substantial blurring, de-focusing, non-uniform illumination, noise and color saturation. The algorithm is accurate, fast, scalable and can be easily adjusted to search for a valid result within a specified time constraint. Our algorithm is particulary useful for real-time recognition of bar codes in portable hand-held devices with limited processing capability, such as mobile phones.
引用
收藏
页码：737 / 740
页数：4
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